Literature DB >> 21980202

Cerebral blood flow is the optimal CT perfusion parameter for assessing infarct core.

Bruce C V Campbell1, Søren Christensen, Christopher R Levi, Patricia M Desmond, Geoffrey A Donnan, Stephen M Davis, Mark W Parsons.   

Abstract

BACKGROUND AND
PURPOSE: CT perfusion (CTP) is widely and rapidly accessible for imaging acute ischemic stroke but has limited validation. Cerebral blood volume (CBV) has been proposed as the best predictor of infarct core. We tested CBV against other common CTP parameters using contemporaneous diffusion MRI.
METHODS: Patients with acute ischemic stroke<6 hours after onset had CTP and diffusion MRI<1 hour apart, before any reperfusion therapies. CTP maps of time to peak (TTP), absolute and relative CBV, cerebral blood flow (CBF), mean transit time (MTT), and time to peak of the deconvolved tissue residue function (Tmax) were generated. The diffusion lesion was manually outlined to its maximal visual extent. Receiver operating characteristic (ROC) analysis area under the curve (AUC) was used to quantify the correspondence of each perfusion parameter to the coregistered diffusion-weighted imaging lesion. Optimal thresholds were determined (Youden index).
RESULTS: In analysis of 98 CTP slabs (54 patients, median onset to CT 190 minutes, median CT to MR 30 minutes), relative CBF performed best (AUC, 0.79; 95% CI, 0.77-81), significantly better than absolute CBV (AUC, 0.74; 95% CI, 0.73-0.76). The optimal threshold was <31% of mean contralateral CBF. Specificity was reduced by low CBF/CBV in noninfarcted white matter in cases with reduced contrast bolus intensity and leukoaraiosis.
CONCLUSIONS: In contrast to previous reports, CBF corresponded with the acute diffusion-weighted imaging lesion better than CBV, although no single threshold avoids detection of false-positive regions in unaffected white matter. This relates to low signal-to-noise ratio in CTP maps and emphasizes the need for optimized acquisition and postprocessing.

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Year:  2011        PMID: 21980202     DOI: 10.1161/STROKEAHA.111.618355

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  116 in total

1.  Acute stroke imaging: CT with CT angiography and CT perfusion before management decisions.

Authors:  A J Fox; S P Symons; P Howard; R Yeung; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-22       Impact factor: 3.825

2.  Acute stroke imaging: what is sufficient for triage to endovascular therapies?

Authors:  M H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-29       Impact factor: 3.825

3.  Location of the clot and outcome of perfusion defects in acute anterior circulation stroke treated with intravenous thrombolysis.

Authors:  N Sillanpää; J T Saarinen; H Rusanen; I Elovaara; P Dastidar; S Soimakallio
Journal:  AJNR Am J Neuroradiol       Date:  2012-06-21       Impact factor: 3.825

4.  A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard.

Authors:  Carlo W Cereda; Søren Christensen; Bruce C V Campbell; Nishant K Mishra; Michael Mlynash; Christopher Levi; Matus Straka; Max Wintermark; Roland Bammer; Gregory W Albers; Mark W Parsons; Maarten G Lansberg
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-19       Impact factor: 6.200

5.  Multimodal Computed Tomography Based Definition of Cerebral Imaging Profiles for Acute Stroke Reperfusion Therapy (CT-DEFINE): Results of a Prospective Observational Study.

Authors:  K Barlinn; J Seibt; K Engellandt; J Gerber; V Puetz; J Kepplinger; O Wunderlich; L-P Pallesen; U Bodechtel; R Koch; R von Kummer; I Dzialowski
Journal:  Clin Neuroradiol       Date:  2014-08-23       Impact factor: 3.649

6.  Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images.

Authors:  King Chung Ho; Fabien Scalzo; Karthik V Sarma; William Speier; Suzie El-Saden; Corey Arnold
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-22

7.  Advanced CT for diagnosis of seizure-related stroke mimics.

Authors:  Friederike Austein; Monika Huhndorf; Johannes Meyne; Helmut Laufs; Olav Jansen; Thomas Lindner
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

8.  Improving acute stroke management with computed tomography perfusion: a review of imaging basics and applications.

Authors:  C D d'Esterre; Enrico Fainardi; R I Aviv; T Y Lee
Journal:  Transl Stroke Res       Date:  2012-05-24       Impact factor: 6.829

9.  Comparison of Two Algorithms for Analysis of Perfusion Computed Tomography Data for Evaluation of Cerebral Microcirculation in Chronic Subdural Hematoma.

Authors:  Alexey O Trofimov; George Kalentiev; Oleg Voennov; Michail Yuriev; Darya Agarkova; Svetlana Trofimova; Denis E Bragin
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

10.  Clinical use of computed tomographic perfusion for the diagnosis and prediction of lesion growth in acute ischemic stroke.

Authors:  Branko N Huisa; William P Neil; Ronald Schrader; Marcel Maya; Benedict Pereira; Nhu T Bruce; Patrick D Lyden
Journal:  J Stroke Cerebrovasc Dis       Date:  2012-12-14       Impact factor: 2.136

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